Data Structures and Algorithms
with Object-Oriented Design Patterns in Java
Consider a directed graph as given by Definition .
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Each element of is called a vertex
or a node of G.
Hence, is the set of vertices (or nodes) of G.
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Each element of is called an edge
or an arc of G.
Hence, is the set of edges (or arcs) of G.
-
An edge can be represented as .
An arrow that points from v to w is known
as a directed arc .
Vertex w is called the head of the arc
because it is found at the arrow head.
Conversely, v is called the tail of the arc.
Finally, vertex w is said to be adjacent
to vertex v.
-
An edge e=(v,w) is said to
emanate from vertex v.
We use notation to denote the set of edges
emanating from vertex v.
That is,
-
The out-degree
of a node is the number of edges
emanating from that node.
Therefore, the out-degree of v is
-
An edge e=(v,w) is said to be
incident on vertex w.
We use notation to denote the set of edges
incident on vertex w.
That is,
-
The in-degree
of a node is the number of edges
incident on that node.
Therefore, the in-degree of w is
For example, Table enumerates the sets of
emanating and incident edges
and the in- and out-degrees
for each of the vertices in graph shown in Figure .
There is still more terminology to be introduced,
but in order to do that,
we need the following definition:
Definition (Path and Path Length)
A path in a directed graph
is a non-empty sequence of vertices
where for
such that for .
The length of path P is k-1.
For example, consider again the graph shown in Figure .
Among the paths contained in there is
the path of length zero, ;
the path of length one, ;
the path of length two, ; and so on.
In fact, this graph generates an infinite number of paths!
(To see how this is possible,
consider that is a path in ).
Notice too the subtle distinction between a path of length zero, say ,
and the path of length one .
Copyright © 1998 by Bruno R. Preiss, P.Eng. All rights reserved.